In summary, with our visualization design, we first provide an overview through our violin plots.
Then, we allow filtering of the data to be investigated using our metric filters, before obtaining details on demand when looking at and selecting individual annotations [1]}.
Finally, users can act upon their findings by systematically processing the dataset.
